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» Efficient mean shift belief propagation for vision tracking
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CVPR
2008
IEEE
11 years 11 days ago
Efficient mean shift belief propagation for vision tracking
A mechanism for efficient mean-shift belief propagation (MSBP) is introduced. The novelty of our work is to use mean-shift to perform nonparametric mode-seeking on belief surfaces...
Minwoo Park, Yanxi Liu, Robert T. Collins
ECCV
2008
Springer
11 years 7 days ago
Deformed Lattice Discovery Via Efficient Mean-Shift Belief Propagation
We introduce a novel framework for automatic detection of repeated patterns in real images. The novelty of our work is to formulate the extraction of an underlying deformed lattice...
Minwoo Park, Robert T. Collins, Yanxi Liu
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
10 years 6 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
CVPR
2006
IEEE
11 years 11 days ago
Efficient Nonparametric Belief Propagation with Application to Articulated Body Tracking
An efficient Nonparametric Belief Propagation (NBP) algorithm is developed in this paper. While the recently proposed nonparametric belief propagation algorithm has wide applicati...
Tony X. Han, Huazhong Ning, Thomas S. Huang
CVPR
2005
IEEE
11 years 11 days ago
Efficient Mean-Shift Tracking via a New Similarity Measure
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
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